
Advanced AI in Robotics
This advanced course explores cutting-edge techniques for integrating Artificial Intelligence (AI) and Large Language Models (LLMs) into robotics. Participants will learn to build intelligent robotic systems capable of autonomous decision-making, natural language interaction, and collaborative behavior. The curriculum focuses on deploying AI-augmented robotics in real-world scenarios, such as healthcare, logistics, disaster recovery, and industrial automation, while addressing ethical, safety, and scalability challenges.
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Course Duration:
39 hours
Level:
Advanced

Course Objectives
Master the integration of LLMs into robotics for natural language processing, planning, and control.
Build AI-augmented systems for perception, contextual understanding, and multi-agent collaboration.
Deploy intelligent robotics applications on edge devices and cloud platforms.
Address advanced topics such as reinforcement learning, ethical AI, and regulatory compliance.
Complete a capstone project showcasing innovative AI-driven robotics solutions.
Prerequisites
Proficiency in Python and C++.
Strong foundation in robotics concepts, including kinematics, dynamics, and ROS.
Expertise in machine learning and deep learning techniques.
Familiarity with cloud platforms and real-time systems (recommended).
